NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Williamson County, TN Series ID: MHICIUBTN47187A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1989-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:09 PM CST Notes: The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 45318 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 53390 1994-01-01 . 1995-01-01 64206 1996-01-01 . 1997-01-01 67240 1998-01-01 69549 1999-01-01 74678 2000-01-01 77683 2001-01-01 78128 2002-01-01 80648 2003-01-01 81201 2004-01-01 85035 2005-01-01 83080 2006-01-01 84452 2007-01-01 87967 2008-01-01 96718 2009-01-01 92599 2010-01-01 85756 2011-01-01 96609 2012-01-01 98891 2013-01-01 99340 2014-01-01 104900 2015-01-01 109646 2016-01-01 113230 2017-01-01 119145 2018-01-01 123724 2019-01-01 127585 2020-01-01 126867 2021-01-01 132705 2022-01-01 141872